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Results: Found 8662 records (displaying records 4851 through 4875)

4851. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Long Allen and Goldberg, Mitchell D.. Improved GPU/CUDA based parallel Weather and Research Forecast (WRF) Single Moment 5-class (WSM5) cloud microphysicsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 5, Issue: 4, 2012, pp.1256-1265. Reprint # 6781. 

4852. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Lung A. and Lee, Tsengdar. GPU-parallel performance of the community radiative transfer model (CRTM) with the optical depth in absorber space (ODAS)-based transmittance algorithm. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2012, Paper 853903. Reprint # 8136. 

4853. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Lung Allen and Goldberg, Mitchell D.. GPU acceleration of the updated Goddard shortwave radiation scheme in the Weather Research and Forecasting (WRF) modelIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 5, Issue: 2, 2012, pp.555-562. Reprint # 6742. 

4854. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Lung Allen and Goldberg, Mitchell D.. GPU implementation of Stony Brook University 5-class cloud microphysics scheme in the WRFIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 5, Issue: 2, 2012, pp.625-633. Reprint # 6743. 

4855. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Lung Allen and Lee, Tsengdar. Performance and scalability of the JCSDA Community Radiative Transfer Model (CRTM) on NVIDIA GPUsIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 8, Issue: 4, 2015, pp.1519-1527. Reprint # 7448. 

4856. Mielikainen, Jarno; Huang, Bormin; Huang, Hung-Lung Allen and Saunder, Roger. Development of GPU-based RTTOV-7 IASI and AMSU-A forward models. Piscataway, NJ, Institute of Electrical and Electronic Engineers, Inc. (IEEE), 2011, pp.2773-2776. Reprint # 6994. 

4857. Mielikainen, Jarno; Huang, Bormin; Wang, Jun; Huang, Hung-Lung Allen and Goldberg, Mitchell D.. Compute Unified Device Architecture (CUDA)-based parallelization of WRF Kessler cloud microphysics schemeComputers and Geosciences, Volume: 52, 2013, pp.292-299. Reprint # 6950. 

4858. Mielikainen, Jarno; Huang, Melin; Huang, Bormin and Huang, Allen H.-L.. Comments on the paper by Huandong Xiao, Jing Sun, Xiaofeng Bian and Zhijun Dai, 'GPU acceleration of the WSM6 cloud microphycis scheme in GRAPES model'Computers and Geosciences, Volume: 72, 2014, pp.262-263. Reprint # 7283. 

4859. Mielikainen, Jarno; Price, Erik; Huang, Bormin; Huang, Hung-Lung Allen and Lee, Tsengdar. GPU Compute Unified Device Architecture (CUDA)-based parallelization of the RRTMG shortwave rapid radiative transfer modelIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 9, Issue: 2, 2016, pp.921-931. Reprint # 7569. 

4860. Mielikaninen, Jarno; Honkanen, Risto; Toivanen, Pekka and Huang, Bormin. GPUs for data parallel spectral image compression. Bellingham, WA, SPIE-International Society for Optical Engineering, 2009, Paper 74550C. Reprint # 6520. 

4861. Mielikaninen, Jarno; Huang, Bormin and Huang, Allen. GPU acceleration of the WRF model for time-critical satellite data assimilation applications. Madison, WI, University of Wisconsin-Madison, Space Science and Engineering Center, Cooperative Institute of Meteorological Satellite Studies (CIMSS), 2014, poster presentation. 1p. 
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4862. Mielikaninen, Jarno; Huang, Bormin and Huang, Hung-Lung Allen. GPU-accelerated multi-profile radiative transfer model for the Infrared Atmospheric Sounding InterferometerIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 4, Issue: 3, 2011, pp.691-700. Reprint # 6497. 

4863. Mielikaninen, Jarno; Huang, Bormin; Huang, Allen H.-L. and Goldberg, Mitchell D.. Development of a GPU-based Stony-Brook University 5-class microphysics scheme in the Weather Research and Forecasting model. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2011, Paper 81830V. Reprint # 6563. 

4864. Mielikaninen, Jarno; Huang, Bormin; Huang, Allen H.-L. and Goldberg, Mitchell D.. GPU accleration of WRF WSM5 microphysics. Bellingham, WA, SPIE-The International Society for Optical Engineering, 2011, Paper 81830S. Reprint # 8137. 

4865. Mierkiewicz, E. J.. Ground-based Fabry-Perot observations of geocoronal hydrogen. Washington, DC, American Geophysical Union, 2000, Abstract SA42A-11. 

4866. Mika, J.; Dunkel, Z.; Borbas, E.; Szenyan, I. G. and Ferenczi, Z.. ScaRaB and ERBE radiation climatology resampledAdvances in Space Research, Volume: 24, Issue: 7, 1999, pp.959-962. Reprint # 4761. 

4867. Mikolajczyk, David E.; Lazzara, M. A.; Kohrs, R. A.; Key, J.; Keller, L. M.; Nettesheim, J. and Tsukernik, M.. Polar satellite composite imagery: A useful tool from operations to research. Boston, MA, American Meteorological Society, 2016, Abstract 61. 

4868. Milani, Lisa and Kulie, Mark. Seasonal snowfall trends associated with shallow cumuliform clouds: A CloudSat perspective. [Geneva], World Meteorological Organization (WMO), International Precipitation Working Group, 2016, PowerPoint presentation. 31 slides. 
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4869. Milani, Lisa and Wood, Norman B.. Biases in CloudSat falling snow estimates resulting from daylight-only operationsRemote Sensing, Volume: 13, Issue: 11, 2021, pp.2041. Reprint # 8694. 
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4870. Milani, Lisa; Kulie, Mark S.; Casella, Daniele; D'Adderio, Leo Pio; Dietrich, Stefano; L'Ecuyer, Tristan S.; Panegrossi, Guilia; Porcu, Feederico; Sano, Paolo and Wood, Norman B.. On the use of cloud profiling radar to detect solid precipitation over Antarctica at different scales. Munich, Germany, European Geosciences Union (EGU), 2016, Abstract EGU2016-12167. 
Abstract Document Link to Abstract

4871. Milani, Lisa; Kulie, Mark S.; Casella, Daniele; Dietrich, Stefano; L'Ecuyer, Tristan S.; Panegrossi, Giulia; Porcu, Federico; Sano, Paolo and Wood, Norman B.. CloudSat snowfall estimates over Antarctica and the Southern Ocean: an assessment of independent retrieval methodologies and multi-year snowfall analysisAtmospheric Research, Volume: 213, 2018, pp.121-135, doi: 10.1016/j.atmosres.2018.05.015. Reprint # 8320. 

4872. Milani, Lisa; Kulie, Mark S.; Casella, Daniele; Kirstetter, Pierre E.; Panegrossi, Giulia; Petkovic, Veljko; Ringerud, Sarah E.; Rysman, Jean-Francois; Sano, Paolo; Wang, Nai-Yu; You, Yalei and Skofronick-Jackson, Gail. Extreme lake-effect snow from a GPM microwave imager perspective: observational analysis and precipitation retrieval evaluationJournal of Atmospheric and Oceanic Technology, Volume: 38, Issue: 2, 2021, pp.293-311. Reprint # 8669. 
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4873. Milani, Lisa; Kulie, Mark S.; Skofronick-Jackson, Gail; Munchak, S. Joseph; Wood, Norman B. and Levizzani, Vincenzo. Global snowfall: A combined CloudSat, GPM, and reanalysis perspective. Munich, Germany, European Geosciences Union (EGU), 2017, Abstract 14056. 
Abstract Document Link to Abstract

4874. Miller, Brian William; David-Chavez, Dominique M.; Elevitch, Craig; Hamilton, Ava; Hatfield, Samantha Chisholm; Jones, Katherine D.; Rabin, Robert; Rosemartin, Alyssa; Souza, M. Kalani and Sparrow, Elena. The indigenous phenology network: Engage, observe, and adapt to change. Washington, DC, American Geophysical Union, 2017, Abstract PA53A-0259. 

4875. Miller, Daniel J.; Zhang, Zhibo; Ackerman, Andrew S.; Platnick, Steven and Baum, Bryan A.. The impact of cloud vertical profile on liquid water path retrieval based on the bispectral method: A theoretical study based on large-eddy simulations of shallow marine boundary layer cloudsJournal of Geophysical Research-Atmospheres, Volume: 121, Issue: 8, 2016, pp.4122-4141. Reprint # 7597.